Results 161 to 170 of about 977,116 (306)
An Active Set Limited Memory BFGS Algorithm for Machine Learning [PDF]
, 2022 Hanger Liu, Yan Li, Maojun Zhang
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Advanced Functional Materials, EarlyView.Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang +7 more
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Machine Learning-Derived Active Sleep as an Early Predictor of White Matter Development in Preterm Infants [PDF]
, 2023 Xiaowan Wang +8 more
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Molecular Cross‐Linking of MXenes: Tunable Interfaces and Chemiresistive Sensing
Advanced Functional Materials, EarlyView.In this study, Ti3C2Tx MXenes are initially functionalized using oleylamine ligands to form stable dispersions in an organic solvent. Subsequently ligand exchange with α,ω‐diaminoalkanes enables cross‐linking, along with precise tuning of interfaces. This structural control translates into tunable charge transport and responsive VOC sensing, showing ...
Yudhajit Bhattacharjee +12 more
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Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic Potentials for Reacting Systems [PDF]
Siddarth K. Achar +5 more
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Advanced Functional Materials, EarlyView.Na‐ion batteries ‐ Impact of doping on the oxygen redox: The sloping potential of NaMg0.1Ni0.4Mn0.5O2 above 4.0 V is caused by a new redox center (arising from the ‘O bound to Mg’), having a higher potential but being more irreversible compared to the ‘O bound to Ni’.
Yongchun Li +12 more
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Actively Learning from Machine Learning Models with Queries and Counterexamples (Extended Abstract) [PDF]
Ana Ozaki
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Advanced Functional Materials, EarlyView.A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
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Machine Learning for Agile and Self-Adaptive Congestion Management in Active Distribution Networks
, 2019 M. Babar, M.H. Roos, Phuong H. Nguyen
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Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Advanced Functional Materials, EarlyView.Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
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